1 Accession number: 20104913450090
Title: A mixed-integer linear optimization model for local energy system planning based on simplex and branch-and-bound algorithms
Authors: Ren, Hongbo1 ; Zhou, Weisheng2 ; Gao, Weijun3 ; Wu, Qiong3
Author affiliation: 1 Ritsumeikan Global Innovation Research Organization, Ritsumeikan University, 603-8577 Kyoto, Japan
2 College of Policy Sciences, Ritsumeikan University, 603-8577 Kyoto, Japan
3 Faculty of Environmental Engineering, University of Kitakyushu, 808-0135 Kitakyushu, Japan
Corresponding author: Ren, H. (tjrhb@fc.ritsumei.ac.jp)
Source title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abbreviated source title: Lect. Notes Comput. Sci.
Volume: 6328 LNCS
Issue: PART 1
Monograph title: Life System Modeling and Intelligent Computing - International Conference on LSMS 2010 and ICSEE 2010, Proceedings
Issue date: 2010
Publication year: 2010
Pages: 361-371
Language: English
ISSN: 03029743
E-ISSN: 16113349
ISBN-10: 3642156207
ISBN-13: 9783642156205
Document type: Conference article (CA)
Conference name: 2010 International Conference on Life System Modeling and Simulation, LSMS 2010 and the 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010
Conference date: September 17, 2010 - September 20, 2010
Conference location: Wuxi, China
Conference code: 82566
Publisher: Springer Verlag, Tiergartenstrasse 17, Heidelberg, D-69121, Germany
Abstract: A Mixed-integer linear optimization model is developed to support the decision making for the sustainable use of energy in the local area. It details exploitation of primary energy sources, electrical and thermal generation, end-use sectors and emissions. The model covers both the energy demand and energy supply sides, and can provide valuable information both on the technical options, and on the possible policy measures. By aiming to realize a low-carbon energy system, the proposed optimization process provides feasible generation settlements between utility grid and distributed generations, as well as optimal diffusion of energy efficiency technologies. Moreover, the mathematical methods for solving the developed model are discussed. The focus is paid on the general solution method for mixed-integer linear optimization model including simplex algorithm and branch-and-bound algorithm. By using the suggested solution methods, the local energy system optimization problem is expected to be resolved in a reasonable time with enough precision. © 2010 Springer-Verlag.
Number of references: 9
Main heading: Branch and bound method
Controlled terms: Algorithms - Computer simulation - Decision making - Energy efficiency - Energy policy - Integer programming - Intelligent computing - Mathematical models - Mesh generation
Uncontrolled terms: Branch-and-bound algorithms - Local energy systems - Low-carbon - Mixed-integer linear optimizations - Simplex algorithm
Classification code: 921.5 Optimization Techniques - 921 Mathematics - 912.2 Management - 723.5 Computer Applications - 723.4 Artificial Intelligence - 525.6 Energy Policy - 525.2 Energy Conservation
DOI: 10.1007/978-3-642-15621-2_40
Database: Compendex
Compilation and indexing terms, © 2010 Elsevier Inc.
2 Accession number: 20074910962423
Title: Economic analysis of a clean development mechanism project: A case introducing photovoltaic system in a commercial building in China
Authors: Ren, Hong-Bo1 ; Gao, Wei-Jun1 ; Ruan, Ying-Jun1
Author affiliation: 1 Faculty of Environmental Engineering, Univ. of Kitakyushu, Kitakyushu 808-0135, Japan
Corresponding author: Ren, H.-B. (d6640401@hibikino.ne.jp)
Source title: Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science)
Abbreviated source title: Huanan Ligong Daxue Xuebao
Volume: 35
Issue: SUPPL.
Issue date: October 2007
Publication year: 2007
Pages: 162-165
Language: English
ISSN: 1000565X
CODEN: HLDKEZ
Document type: Journal article (JA)
Publisher: South China University of Technology, Guangzhou, 510640, China
Abstract: A case study of the installation of a photovoltaic (PV) system as a potential clean development mechanism (CDM) project for a commercial building in China was performed by using a newly developed mathematical programming model. The model, which was developed to optimize the installation capacity of the PV system subjected to the constraints on electricity supply and demand balances, was adopted to carry out parametric surveys of PV investment and electricity price. The resultant calculations reveal that, in some cases, the PV system will be voluntarily introduced in China, and that the PV system can be certified as a CDM project with financial support by the investor country. In some combination of parameters, the value of CO2 emission reduction credit offsets the PV capital cost, although the shared allocation of economic profits yielded by the CDM project between the two countries greatly mitigates the restraints on the project, while at the same time qualifying it for the CDM.
Number of references: 2
Main heading: Solar energy
Controlled terms: China - Economic analysis - Investments - Mathematical models - Mathematical programming - Surveys
Uncontrolled terms: Clean development mechanism - Demand balance - Developed mathematical programming model - Electricity supply - Photovoltaic system
Classification code: 405.3 Surveying - 657.1 Solar Energy and Phenomena - 723.1 Computer Programming - 901.4 Impact of Technology on Society - 911.2 Industrial Economics - 921.6 Numerical Methods
Treatment: Applications (APP)
Database: Compendex
Compilation and indexing terms, © 2010 Elsevier Inc.
3 Accession number: 20071110487595
Title: Optimization of PV system for residential application-effect of carbon tax and electricity buy-back
Authors: Ren, Hong-Bo1 ; Gao, Wei-Jun1 ; Ruan, Ying-Jun2
Author affiliation: 1 Faculty of Environmental Engineering, University of Kitakyushu, Kitakyushu 808-0135, Japan
2 Faculty of Human-Environment Engineering, Kyushu University, Japan
Corresponding author: Ren, H.-B. (d6640401@hibikino.ne.jp)
Source title: Journal of Harbin Institute of Technology (New Series)
Abbreviated source title: J. Harbin Inst. Technol.
Volume: 14
Issue: SUPPL.
Issue date: January 2007
Publication year: 2007
Pages: 140-144
Language: English
ISSN: 10059113
CODEN: JHITED
Document type: Journal article (JA)
Publisher: Harbin Institute of Technology, P.O. Box 136, Harbin, 150001, China
Abstract: In this paper, five cases with various levels of carbon tax and electricity buy-back price for adoption of photovoltaic (PV) system were studied. An evaluation model, constructed in an optimization package LINGO, was employed to analyze the economic aspects of PV adoption. The results can be summarized as follows; 1) For a practical project, each case has its optimal PV capacity, considering the minimal annual energy cost and various constraints. 2) The introduction of carbon tax stimulates the adoption of PV system. However, the influence is relatively small. The optimal capacity has an increase of 0.4 kW with the adoption of carbon tax of 10 Yen/kg-C.3) Electricity buy-back price has a positive influence on PV adoption. With a price of 25 Yen/kWh, the customer prefers to adopt the maximal PV capacity limited to the available site area. However, as the price is reduced to 15 Yen/kWh, the economic attractive investment is between 0 to 1.3 kW.
Number of references: 7
Main heading: Optimization
Controlled terms: Carbon - Economics - Electricity - Environmental protection - Investments - Photovoltaic effects - Sustainable development
Uncontrolled terms: Carbon tax - Economic aspects - Economic attractive investment - Electricity buy back - Energy cost - Evaluation model - Optimal capacity - Photovoltaic (PV) system - Residential application
Classification code: 454.2 Environmental Impact and Protection - 701.1 Electricity: Basic Concepts and Phenomena - 901.4 Impact of Technology on Society - 911.2 Industrial Economics - 921.5 Optimization Techniques - 971 Social Sciences
Treatment: Applications (APP)
Database: Compendex
Compilation and indexing terms, © 2010 Elsevier Inc
内容全部来源于网络收集，如有侵权，请联系网站删除：QQ：24596024